Reseach On Spectrum Allocation And Traffic Grooming In Elastic Optical Network

Traditional Wavelength Division Multiplexing(WDM) network has many shortcomings due to its ITU-T’s fixed wavelength allocation limit, which leads to poor spectrum reseource utilization and lacking of network flexibility. Elastic Optical Network(EON) splits the spectrums into much smaller granularity size, which can be converted into the frequency slots similar to traditional WDM wavelength channels. Thus EON can provide mixing rate services with flexible frequency spectrum, which is considered as one of promising next generation optical networks solutions. This thesis presents a comprehensive study on spectrum allocation and traffic grooming issues in EON with theoretical analysis and numberical simulation methods.Firstly, this thesis gives a brief introduction of the fundemantal principles of EON and its key network components. Secondly, it focuses on some important constraints in elastic spectrum distribution and several common spectrum allocation method, followed the traffic grooming problems including static and dynamic traffic grooming issues, respectively. This thesis proposes an adaptive modulation and spectrum allocation algorithm based on a sub-channel virtual concatenation technology and modulations for EON. Theoretical analysis and numerical simulation results show that the improved algorithm can effectively improve the spectrum resource utilization and reduce the average rate of the network traffic blocking in different network topologies. In order to minimize Guard Bandwidth(GB), an OG-FM traffic grooming algorithm is proposed. Simulation results show that compared with non traffic grooming schenario, OG-FM algorithm has a significant improvement in blocking rate under some certain conditions. Finally, this thesis discusses application of EON which applies traffic grooming, and proposes application strategy.